From manufacturing to medical diagnosis, organisations routinely make decisions based on measurement data. Awareness of the associated uncertainty and its impacts on quality can therefore mitigate failures, risks and increased operating costs. To help industries accurately assess uncertainties, the Joint Committee for Guides in Metrology (JCGM) publish the Guide to the expression of uncertainty in measurement (GUM) which provides instructions, procedures and illustrative examples. Yet, interpretation and application of the GUM’s principles remains difficult for many end-users, particularly as numerous examples in GUM are now quarter of a century old.
This project will deliver a comprehensive set of new or improved examples for uncertainty evaluation methods in accordance with the GUM, for example in cancer treatment dosimetry or illegal substance testing in sports. The project will also develop examples that can be used as adaptable template solutions for related problems. By enabling practitioners to ‘learn by example’, the project will contribute to the application of improved uncertainty evaluation, benefiting decision making in many areas of industry.